PeopleofSuperintelligence

Researcher

Juan Eugenio Iglesias

Juan Eugenio Iglesias is a medical imaging researcher who develops machine learning methods for brain MRI. He earned M.Sc. degrees in telecommunications and electrical engineering at Seville and KTH, completed a biomedical engineering PhD at UCLA, and held postdoctoral roles at the Martinos Center and BCBL. While at BCBL, he received an ERC Starting Grant in 2015 for a planned project to develop tools for high-resolution neuroimaging, then joined UCL in 2016 and returned to Martinos in 2019. His work includes SynthSR and SynthSeg for MRI synthesis and segmentation, and NextBrain, a histological atlas for MRI segmentation. As of October 2026, he is an Associate Professor of Radiology at the Martinos Center, directs LEMoN and co-directs the Center for Machine Learning, with current AI work on portable low-field MRI.

Works
367
Citations
11,885
h-index
48
Badges

Publication numbers from OpenAlex, as of 27 October 2026.

Timeline

  1. August 2011–April 2016

    Postdocs and an ERC grant

    He earns M.Sc. degrees in telecommunications and electrical engineering at the University of Seville and KTH, then completes a biomedical engineering PhD at UCLA. His PhD study at UCLA runs from September 2007 to June 2011. He works as a postdoctoral researcher at the Martinos Center from August 2011 to March 2014 and at BCBL from April 2014 to April 2016. While working as a biomedical engineer at BCBL in 2015, he receives an ERC Starting Grant for a project that aims to develop computational tools for high-resolution neuroimaging.

  2. September 2016–February 2022

    ERC research fellowship at UCL

    In September 2016, he begins an ERC Senior Research Fellowship at UCL's Centre for Medical Image Computing, which continues through February 2022.

  3. 2019

    Return to the Martinos Center

    He moves back to the Martinos Center in Boston in 2019.

  4. 2020

    SynthSR for clinical MRI

    In 2020, he coauthors SynthSR, a method that trains a CNN to turn thick-slice clinical MRI scans with varied contrast, resolution and orientation into 1 mm isotropic MP-RAGE volumes.

  5. 2021

    SynthSeg for brain MRI

    In 2021, he coauthors SynthSeg, a CNN trained on synthetic data that segments brain scans across contrasts and resolutions without retraining.

  6. 2025

    The NextBrain atlas

    In 2025, he coauthors NextBrain, a probabilistic histological atlas for MRI segmentation. The team aligns roughly 10,000 histological sections from five whole-brain hemispheres and produces segmentations for 333 regions.

  7. October 2026

    AI for portable low-field MRI

    In October 2026, he is listed to present generalizable neural networks that analyze clinical brain scans with varied resolutions and imaging characteristics, with applications extending to portable MRI. His team is developing AI tools for low-field portable MRI.

  8. As of October 2026

    Radiology professor and lab director

    As of October 2026, he is an Associate Professor of Radiology at Harvard Medical School and the Martinos Center for Biomedical Imaging at MGH. He has held the associate professorship since 2023. He directs the Laboratory for Ex vivo Modeling of Neuroanatomy (LEMoN) and co-directs the Center for Machine Learning. He has held a research affiliate appointment at MIT's Computer Science and Artificial Intelligence Laboratory since November 2018. He also holds an Honorary Research Fellow role at UCL.

Career

  1. Since 2023Harvard UniversityAssociate Professor of Radiology
  2. Since 2023Mass General BrighamAssociate Professor of Radiology
  3. Since 2018Massachusetts Institute of TechnologyResearch Affiliate, Computer Science and Artificial Intelligence Laboratory
  4. NowMass General BrighamDirector, Laboratory for Ex vivo Modeling of Neuroanatomy (LEMoN)
  5. NowMass General BrighamCo-director, Center for Machine Learning
  6. NowUniversity College LondonHonorary Research Fellow
  7. From 2019Mass General Brigham
  8. 2019–2026MIT CSAIL
  9. 2016–2022University College LondonERC Senior Research Fellow, Centre for Medical Image Computing
  10. 2014–2016Basque Center on Cognition, Brain and LanguagePostdoctoral Researcher
  11. 2011–2014Mass General BrighamPostdoctoral Researcher
  12. Basque Center on Cognition, Brain and LanguageBiomedical Engineer

Education

  1. 2011University of California, Los AngelesPhD in Biomedical Engineering
  2. University of SevilleM.Sc. in Telecommunications
  3. KTH Royal Institute of TechnologyM.Sc. in Electrical Engineering

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Checked career sources: etsi.us.es, advances.massgeneral.org.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. PI – Laboratory for Ex vivo Modeling of Neuroanatomy (LEMoN) lemon.martinos.org. Checked 27 October 2026.
  2. Doce científicos de centros españoles, becados con Starting Grants europeas tendencias21.es. Checked 27 October 2026.
  3. Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast | arXiv arxiv.org. Checked 27 October 2026.
  4. SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining | arXiv arxiv.org. Checked 27 October 2026.
  5. A probabilistic histological atlas of the human brain for MRI segmentation | PMC pmc.ncbi.nlm.nih.gov. Checked 27 October 2026.
  6. Rewriting the Rules of Imaging: The promise of AI-powered low-field MRI – Martinos Center martinos.org. Checked 27 October 2026.
  7. P1 Guest Talk by Associate Professor Juan Eugenio Iglesias | Event | Pioneer Centre for Artificial Intelligence aicentre.dk. Checked 27 October 2026.
  8. Juan Eugenio Iglesias | Higher Technical School of Engineering etsi.us.es. Checked 27 October 2026.
  9. Juan Eugenio Iglesias, PhD - Mass General Advances in Motion advances.massgeneral.org. Checked 27 October 2026.